FMLM+ introduces Posterior Refinement, a strategy that enables adaptive self-correction during inference. By combining flow map transport with masking-style noise schedules, it achieves high-fidelity language generation with 32x fewer noise-free evaluations, outperforming both MDM and FMLM in speed-quality tradeoff.